Research on fault diagnosis of porcelain pillar insulators based on vibration signal feature extraction

Lei Gao; Chunlv Meng; Chun Chen; Jingpu Feng; Xun Zhou Ji; Yuan Sun; Chiliang Lin; Wenqing Chen; Shengyu Lin; Zhongmou Gao

doi:10.1117/12.3030509

5 June 2024 Research on fault diagnosis of porcelain pillar insulators based on vibration signal feature extraction

Lei Gao, Chunlv Meng, Chun Chen, Jingpu Feng, Xun Zhou Ji, Yuan Sun, Chiliang Lin, Wenqing Chen, Shengyu Lin, Zhongmou Gao

Author Affiliations +

Proceedings Volume 13163, Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024); 1316373 (2024) https://doi.org/10.1117/12.3030509
Event: International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024), 2024, Xi'an, China

Abstract

Porcelain pillar insulators are one of the important equipment in the power system, and their stability plays a crucial role in the normal operation of the power system. During long-term operation, porcelain pillar insulators are susceptible to external environmental and internal structural factors, leading to faults and even accidents in the power system. Therefore, timely detection and accurate diagnosis of faults in porcelain pillar insulators are crucial for the safe and stable operation of the power system. This article is based on extracting vibration signal features to analyze and diagnose the vibration signals of porcelain pillar insulators. A fault feature signal analysis method based on local mean decomposition and principal component analysis is proposed to achieve fast and accurate fault diagnosis of porcelain pillar insulators.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Lei Gao, Chunlv Meng, Chun Chen, Jingpu Feng, Xun Zhou Ji, Yuan Sun, Chiliang Lin, Wenqing Chen, Shengyu Lin, and Zhongmou Gao "Research on fault diagnosis of porcelain pillar insulators based on vibration signal feature extraction", Proc. SPIE 13163, Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024), 1316373 (5 June 2024); https://doi.org/10.1117/12.3030509

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